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» Resampling methods for input modeling
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110
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EMNLP
2010
15 years 1 months ago
Using Universal Linguistic Knowledge to Guide Grammar Induction
We present an approach to grammar induction that utilizes syntactic universals to improve dependency parsing across a range of languages. Our method uses a single set of manually-...
Tahira Naseem, Harr Chen, Regina Barzilay, Mark Jo...
119
Voted
EMNLP
2009
15 years 1 months ago
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Gregory Druck, Burr Settles, Andrew McCallum
161
Voted
EDUTAINMENT
2006
Springer
15 years 7 months ago
3D Body Reconstruction from Photos Based on Range Scan
Abstract. We present a data-driven shape model for reconstructing human body models from one or more 2D photos. One of the key tasks in reconstructing the 3D model from image data ...
Hyewon Seo, Young In Yeo, KwangYun Wohn
112
Voted
VISUALIZATION
2000
IEEE
15 years 7 months ago
Interior/exterior classification of polygonal models
We present an algorithm for automatically classifying the interior and exterior parts of a polygonal model. The need for visualizing the interiors of objects frequently arises in ...
Fakir S. Nooruddin, Greg Turk
VMV
2001
131views Visualization» more  VMV 2001»
15 years 5 months ago
Shape Model and Threshold Extraction via Shape Gradients
Shape information is utilized by numerous applications in computer vision, scientific visualization and computer graphics. This paper presents a novel algorithm for exploring and ...
Roger C. Tam, Alain Fournier